Selected Publications

You can also find my articles on my Google Scholar profile.

📕 Ph.D. Thesis

Yigitcan Özer
Source Separation of Piano Music Recordings
Ph.D. Thesis, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany, 2024

📘 Journal Papers

Yigitcan Özer, Meinard Müller
Source Separation of Piano Concertos Using Musically Motivated Augmentation Techniques
IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), vol. 32, pp. 1214–1225, 2024

Yigitcan Özer, Leo Brütting, Simon Schwär, Meinard Müller
libsoni: A Python Toolbox for Sonifying Music Annotations and Feature Representations
Journal of Open Source Software (JOSS), vol. 9, no. 98, 2024

Yigitcan Özer, Simon Schwär, Vlora Arifi-Müller, Jeremy Lawrence, Emre Sen, Meinard Müller
Piano Concerto Dataset (PCD): A Multitrack Dataset of Piano Concertos
Transactions of the International Society for Music Information Retrieval (TISMIR), vol. 6, no. 1, pp. 75–88, 2023

Meinard Müller, Yigitcan Özer, Michael Krause, Thomas Prätzlich, and Jonathan Driedger
Sync Toolbox: A Python Package for Efficient, Robust, and Accurate Music Synchronization
Journal of Open Source Software (JOSS), 6(64): 1–4, 2021.

📘 Conference Papers

Yigitcan Özer, Hans-Ulrich Berendes, Vlora Arifi-Müller, Fabian-Robert Stöter, Meinard Müller
Notewise Evaluation for Music Source Separation: A Case Study for Separated Piano Tracks
Proc. International Society for Music Information Retrieval Conference (ISMIR), San Francisco, USA, 2024

Nazif Can Tamer, Yigitcan Özer, Meinard Müller, Xavier Serra
TAPE: An End-to-End Timbre-Aware Pitch Estimator
Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Rhodes Island, Greece, 2023

Yigitcan Özer, Meinard Müller
Source Separation of Piano Concertos with Test-Time Adaptation
Proc. International Society for Music Information Retrieval Conference (ISMIR), Bengaluru, India, 2022, pp. 493–500

Yigitcan Özer, Matěj Ištvánek, Vlora Arifi-Müller, Meinard Müller
Using Activation Functions for Improving Measure-Level Audio Synchronization
Proc. International Society for Music Information Retrieval Conference (ISMIR), Bengaluru, India, 2022, pp. 749–756

Yigitcan Özer, Jonathan Hansen, Tim Zunner, Meinard Müller
Investigating Nonnegative Autoencoders for Efficient Audio Decomposition
Proc. European Signal Processing Conference (EUSIPCO), Belgrade, Serbia, 2022, pp. 254–258